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Answer: Develop and implement a standardized labeling policy.
Developing and implementing a standardized labeling policy ensures consistency and accuracy across different data sources and formats, enhancing data management and compliance.
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Consider a case where you need to manage sensitivity labels in semantic models and lakehouses. How would you ensure that these labels are consistently applied across different data sources and formats? Describe the strategies you would use to maintain consistency and accuracy.
A
Apply labels manually without any standardization.
B
Develop and implement a standardized labeling policy.
C
Ignore labeling for non-standard data formats.
D
Label all data as highly sensitive to avoid inconsistencies.